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基于现场可编程门阵列的隐写术:一种整数小波变换方法。

Stego on FPGA: an IWT approach.

作者信息

Ramalingam Balakrishnan, Amirtharajan Rengarajan, Rayappan John Bosco Balaguru

机构信息

School of Electrical & Electronics Engineering, SASTRA University, Thanjavur 613401, India.

出版信息

ScientificWorldJournal. 2014 Feb 26;2014:192512. doi: 10.1155/2014/192512. eCollection 2014.

Abstract

A reconfigurable hardware architecture for the implementation of integer wavelet transform (IWT) based adaptive random image steganography algorithm is proposed. The Haar-IWT was used to separate the subbands namely, LL, LH, HL, and HH, from 8 × 8 pixel blocks and the encrypted secret data is hidden in the LH, HL, and HH blocks using Moore and Hilbert space filling curve (SFC) scan patterns. Either Moore or Hilbert SFC was chosen for hiding the encrypted data in LH, HL, and HH coefficients, whichever produces the lowest mean square error (MSE) and the highest peak signal-to-noise ratio (PSNR). The fixated random walk's verdict of all blocks is registered which is nothing but the furtive key. Our system took 1.6 µs for embedding the data in coefficient blocks and consumed 34% of the logic elements, 22% of the dedicated logic register, and 2% of the embedded multiplier on Cyclone II field programmable gate array (FPGA).

摘要

提出了一种用于实现基于整数小波变换(IWT)的自适应随机图像隐写算法的可重构硬件架构。使用哈尔整数小波变换(Haar-IWT)从8×8像素块中分离出低频-低频(LL)、低频-高频(LH)、高频-低频(HL)和高频-高频(HH)子带,并使用摩尔(Moore)和希尔伯特(Hilbert)空间填充曲线(SFC)扫描模式将加密的秘密数据隐藏在LH、HL和HH块中。选择摩尔或希尔伯特SFC将加密数据隐藏在LH、HL和HH系数中,以产生最低均方误差(MSE)和最高峰值信噪比(PSNR)。记录所有块的固定随机游走判定结果,这就是秘密密钥。我们的系统在Cyclone II现场可编程门阵列(FPGA)上,将数据嵌入系数块耗时1.6微秒,消耗了34%的逻辑元件、22%的专用逻辑寄存器和2%的嵌入式乘法器。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/413d/3958694/b6ff0d105079/TSWJ2014-192512.001.jpg

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